Harvard Business School Online provides this self-paced course, designed for business professionals aiming to leverage data science, AI, and analytics to make evidence-based decisions. Participants gain hands-on experience with AI tools, LLMs, and data modeling to translate insights into strategic business outcomes.
This course enables learners to:
Build a business-focused understanding of data science, machine learning, and generative AI.
Understand generative AI systems, large language models (LLMs), and prompt engineering to apply them responsibly.
Use LLM-powered analytical tools like Julius to explore, build, and validate data models.
Apply unsupervised and supervised learning techniques for pattern recognition, segmentation, and forecasting.
Translate data analysis into actionable strategic business decisions and design evidence-based experiments.
The self-paced online course requires 20 to 30 hours of study time because students can select their own study times. For a fee of $1,850 participants obtain both a Certificate of Completion and access to practical business-oriented AI training. The course teaches students essential skills through its combination of real-world AI applications and data science methodology and decision-making strategies.
Foundations of Data Science: The scientific principles of data science establish fundamental concepts which serve as the foundation for analytical methods and data modeling techniques.
AI and Machine Learning in Business: The field of AI and machine learning research develops applications for business use through generative AI technology and LLM systems.
Experimentation and Strategy: Business experiments require design through experimentation and companies should base their decisions on collected evidence.
Data Modeling Tools: The LLM-based platform Julius provides analytical capabilities and validation functions for data modeling.
Applied Business Projects: The applied business projects program requires students to work on practical tasks that demonstrate how AI knowledge can be used to make important business decisions.
Intermediate-level understanding of business, data analysis, or statistics.
Basic familiarity with data-driven decision-making and technology tools.
Harvard Business School Online offers students a distinct educational experience which integrates practical AI and data science applications into business strategy development. The program provides students with practical training in generative AI LLMs and analytical tools which enables them to transform data insights into business solutions. The program uses actual projects to help students learn practical skills which they can immediately use in their work.
The course teaches professionals how to use data science and AI for their business decision-making processes. Participants learn to develop real-world skills in analytics and experimentation and evidence-based strategy through their work with AI tools and data modeling and business applications.